Underwater computer vision has attracted increasing attention in the research community
due to the recent advances in underwater platforms such as of rovers, gliders, autonomous …

Due to the unavailability of large-scale underwater depth image datasets and ill-posed
problems, underwater single-image depth prediction is a challenging task. An unambiguous …

Underwater image enhancement, as a pre-processing step to support the following object
detection task, has drawn considerable attention in the field of underwater navigation and …

Visual systems are receiving increasing attention in underwater applications. While the
photogrammetric and computer vision literature so far has largely targeted shallow water …

Underwater salient object detection (USOD) attracts increasing interest for its promising
performance in various underwater visual tasks. However, USOD research is still in its early …

Inferring the depth of images is a fundamental inverse problem within the field of Computer
Vision since depth information is obtained through 2D images, which can be generated from …

Underwater (UW) depth estimation and image restoration is a challenging task due to its
fundamental ill-posedness and the unavailability of real large-scale UW-paired datasets …

In this paper, we present a fast monocular depth estimation method for enabling 3D
perception capabilities of low-cost underwater robots. We formulate a novel end-to-end …

Monocular depth estimation has experienced significant progress on terrestrial images in
recent years thanks to deep learning advancements. But it remains inadequate for …

Exploiting stronger winds at offshore farms leads to a cyclical need for maintenance due to
the harsh maritime conditions. While autonomous vehicles are the prone solution for O&M …